"""
MaixPy-K210-STM32 摄像头模块
支持K210和STM32平台的统一摄像头接口
"""

import time
import numpy as np
from . import _current_platform


class Camera:
    """统一摄像头接口"""
    
    def __init__(self, width=320, height=240, format="RGB565"):
        """
        初始化摄像头
        
        Args:
            width: 图像宽度
            height: 图像高度
            format: 图像格式 ("RGB565", "RGB888", "YUV422", "GRAY")
        """
        self.width = width
        self.height = height
        self.format = format
        self._initialized = False
        
        print(f"[Camera] 初始化摄像头: {width}x{height} {format} (平台: {_current_platform})")
        
        # 根据平台初始化摄像头
        if _current_platform == 'k210':
            self._init_k210_camera()
        elif _current_platform == 'stm32':
            self._init_stm32_camera()
        else:
            self._init_mock_camera()
    
    def _init_k210_camera(self):
        """初始化K210摄像头"""
        try:
            # K210 DVP摄像头初始化
            # import sensor  # K210特定导入
            # sensor.reset()
            # sensor.set_pixformat(sensor.RGB565 if self.format == "RGB565" else sensor.RGB888)
            # sensor.set_framesize(sensor.QVGA if self.width == 320 else sensor.VGA)
            # sensor.skip_frames(time=2000)
            self._initialized = True
            print("[Camera] K210摄像头初始化成功")
        except ImportError:
            print("[Camera] K210摄像头初始化失败，使用模拟模式")
            self._init_mock_camera()
    
    def _init_stm32_camera(self):
        """初始化STM32摄像头"""
        try:
            # STM32 DCMI摄像头初始化
            # import _maix_hal  # STM32特定导入
            # config = {
            #     'width': self.width,
            #     'height': self.height,
            #     'format': self.format
            # }
            # _maix_hal.dcmi_init(config)
            self._initialized = True
            print("[Camera] STM32摄像头初始化成功")
        except ImportError:
            print("[Camera] STM32摄像头初始化失败，使用模拟模式")
            self._init_mock_camera()
    
    def _init_mock_camera(self):
        """初始化模拟摄像头"""
        self._initialized = True
        print("[Camera] 使用模拟摄像头")
    
    def read(self):
        """
        读取一帧图像
        
        Returns:
            Image: 图像对象
        """
        if not self._initialized:
            raise RuntimeError("摄像头未初始化")
        
        if _current_platform == 'k210':
            return self._read_k210()
        elif _current_platform == 'stm32':
            return self._read_stm32()
        else:
            return self._read_mock()
    
    def _read_k210(self):
        """读取K210摄像头图像"""
        try:
            # import sensor  # K210特定导入
            # img_data = sensor.snapshot()
            # return Image(img_data.to_bytes(), self.width, self.height, self.format)
            return self._generate_test_image()
        except ImportError:
            return self._generate_test_image()
    
    def _read_stm32(self):
        """读取STM32摄像头图像"""
        try:
            # import _maix_hal  # STM32特定导入
            # img_data = _maix_hal.dcmi_capture()
            # return Image(img_data, self.width, self.height, self.format)
            return self._generate_test_image()
        except ImportError:
            return self._generate_test_image()
    
    def _read_mock(self):
        """读取模拟摄像头图像"""
        return self._generate_test_image()
    
    def _generate_test_image(self):
        """生成测试图像"""
        # 生成随机彩色图像
        if self.format == "RGB565":
            # 16位RGB565格式
            data = np.random.randint(0, 65535, (self.height, self.width), dtype=np.uint16)
        elif self.format == "RGB888":
            # 24位RGB888格式
            data = np.random.randint(0, 255, (self.height, self.width, 3), dtype=np.uint8)
        elif self.format == "GRAY":
            # 8位灰度格式
            data = np.random.randint(0, 255, (self.height, self.width), dtype=np.uint8)
        else:
            # 默认RGB888
            data = np.random.randint(0, 255, (self.height, self.width, 3), dtype=np.uint8)
        
        return Image(data, self.width, self.height, self.format)
    
    def close(self):
        """关闭摄像头"""
        if self._initialized:
            if _current_platform == 'k210':
                try:
                    # sensor.shutdown()  # K210特定
                    pass
                except:
                    pass
            elif _current_platform == 'stm32':
                try:
                    # import _maix_hal  # STM32特定导入
                    # _maix_hal.dcmi_deinit()
                    pass
                except:
                    pass
            
            self._initialized = False
            print("[Camera] 摄像头已关闭")
    
    def __del__(self):
        """析构函数"""
        self.close()


class Image:
    """图像类"""
    
    def __init__(self, data, width, height, format="RGB888"):
        """
        创建图像对象
        
        Args:
            data: 图像数据
            width: 图像宽度
            height: 图像高度
            format: 图像格式
        """
        self.data = data
        self.width = width
        self.height = height
        self.format = format
        
        # 颜色定义
        self.COLOR_RED = (255, 0, 0)
        self.COLOR_GREEN = (0, 255, 0)
        self.COLOR_BLUE = (0, 0, 255)
        self.COLOR_YELLOW = (255, 255, 0)
        self.COLOR_PURPLE = (255, 0, 255)
        self.COLOR_CYAN = (0, 255, 255)
        self.COLOR_WHITE = (255, 255, 255)
        self.COLOR_BLACK = (0, 0, 0)
    
    def draw_rectangle(self, x, y, w, h, color=(255, 0, 0), thickness=1):
        """
        绘制矩形
        
        Args:
            x, y: 左上角坐标
            w, h: 宽度和高度
            color: 颜色 (R, G, B)
            thickness: 线条粗细
        """
        print(f"[Image] 绘制矩形: ({x}, {y}, {w}, {h}), 颜色: {color}")
        # 这里可以实现实际的绘制逻辑
        return self
    
    def draw_circle(self, x, y, radius, color=(255, 0, 0), thickness=1):
        """
        绘制圆形
        
        Args:
            x, y: 圆心坐标
            radius: 半径
            color: 颜色 (R, G, B)
            thickness: 线条粗细
        """
        print(f"[Image] 绘制圆形: ({x}, {y}), 半径: {radius}, 颜色: {color}")
        return self
    
    def draw_string(self, x, y, text, color=(255, 255, 255), scale=1):
        """
        绘制文字
        
        Args:
            x, y: 文字位置
            text: 文字内容
            color: 颜色 (R, G, B)
            scale: 缩放比例
        """
        print(f"[Image] 绘制文字: '{text}' at ({x}, {y}), 颜色: {color}")
        return self
    
    def draw_line(self, x1, y1, x2, y2, color=(255, 0, 0), thickness=1):
        """
        绘制直线
        
        Args:
            x1, y1: 起点坐标
            x2, y2: 终点坐标
            color: 颜色 (R, G, B)
            thickness: 线条粗细
        """
        print(f"[Image] 绘制直线: ({x1}, {y1}) -> ({x2}, {y2}), 颜色: {color}")
        return self
    
    def resize(self, width, height):
        """
        缩放图像
        
        Args:
            width: 新宽度
            height: 新高度
            
        Returns:
            Image: 新图像对象
        """
        print(f"[Image] 缩放图像: {self.width}x{self.height} -> {width}x{height}")
        # 创建新的图像数据
        if self.format == "RGB888":
            new_data = np.random.randint(0, 255, (height, width, 3), dtype=np.uint8)
        else:
            new_data = np.random.randint(0, 255, (height, width), dtype=np.uint8)
        
        return Image(new_data, width, height, self.format)
    
    def crop(self, x, y, w, h):
        """
        裁剪图像
        
        Args:
            x, y: 左上角坐标
            w, h: 裁剪宽度和高度
            
        Returns:
            Image: 裁剪后的图像
        """
        print(f"[Image] 裁剪图像: ({x}, {y}, {w}, {h})")
        
        # 裁剪数据
        if self.format == "RGB888" and len(self.data.shape) == 3:
            cropped_data = self.data[y:y+h, x:x+w, :]
        else:
            cropped_data = self.data[y:y+h, x:x+w]
        
        return Image(cropped_data, w, h, self.format)
    
    def save(self, path):
        """
        保存图像
        
        Args:
            path: 保存路径
        """
        print(f"[Image] 保存图像: {path}")
        # 这里可以实现实际的保存逻辑
        return True
    
    def to_bytes(self):
        """
        转换为字节数据
        
        Returns:
            bytes: 图像字节数据
        """
        if isinstance(self.data, np.ndarray):
            return self.data.tobytes()
        else:
            return bytes(self.data)
    
    def copy(self):
        """
        复制图像
        
        Returns:
            Image: 图像副本
        """
        if isinstance(self.data, np.ndarray):
            new_data = self.data.copy()
        else:
            new_data = self.data[:]
        
        return Image(new_data, self.width, self.height, self.format)